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How to Build a Data Analytics Platform

DAYNA SHOEMAKER | February 28, 2019 | 149 views

Companies today are increasingly generating large amounts of data to better understand their business, their customers, and their market. Increased data volume alone, however, will not lead to increased success. Instead, companies must find new ways to consolidate and transform disparate data sources in order to generate meaningful insights.

Spotlight

Melstar Information Technolgies Ltd.

Melstar, a software services company, now part of the Yash Birla Group, is one of the major IT solution providers to the Banking, Insurance, Government and IT sectors. The acquisition, in 2008, was part of the Group's ongoing thrust on growth and exploring new-age sectors like Education, Healthcare and IT.

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SOFTWARE

Empowering Industry 4.0 with Artificial Intelligence

Article | July 14, 2022

The next step in industrial technology is about robotics, computers and equipment becoming connected to the Internet of Things (IoT) and enhanced by machine learning algorithms. Industry 4.0 has the potential to be a powerful driver of economic growth, predicted to add between $500 billion- $1.5 trillion in value to the global economy between 2018 and 2022, according to a report by Capgemini.

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SOFTWARE

How Artificial Intelligence Is Transforming Businesses

Article | July 13, 2022

Whilst there are many people that associate AI with sci-fi novels and films, its reputation as an antagonist to fictional dystopic worlds is now becoming a thing of the past, as the technology becomes more and more integrated into our everyday lives. AI technologies have become increasingly more present in our daily lives, not just with Alexa’s in the home, but also throughout businesses everywhere, disrupting a variety of different industries with often tremendous results. The technology has helped to streamline even the most mundane of tasks whilst having a breath-taking impact on a company’s efficiency and productivity

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AI TECH

The advances of AI in healthcare

Article | July 20, 2022

With the Government investing £250 million into the project, the Lab will consider how to use AI for the benefit of patients – whether this be the deployment of existing AI methods, the development of new technologies or the testing of their safety. Amongst other things, the initiative will aim to deliver earlier diagnoses of cancer. It is estimated that in excess of 50,000 extra patients could see their cancer being detected at an early stage, thus boosting survival rates. More specifically, a study has shown that AI is quicker in identifying brain tumour tissue than a pathologist.This would have a positive knock-on effect in other areas, such as enabling money to be saved (that otherwise would have been spent on further treatment) and reducing the workload of staff (at a time when there is a crisis in NHS workforce numbers).

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Three Keys to Successful AI Adoption

Article | February 10, 2020

Over the past several years, we have begun to see the emergence of artificial intelligence (AI) in businesses. According to a study for the AI Index 2019 Annual Report, more than half of respondents report their companies are using AI in at least one function or business unit. Thirty percent report they have AI embedded across multiple areas of their business. As businesses continue to develop their understanding of what is possible with AI, we can expect to see a continued increase in AI adoption.

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SOFTWARE

Unearthing the Potential of Quantum Computing

Article | July 14, 2022

The next step in industrial technology is about robotics, computers and equipment becoming connected to the Internet of Things (IoT) and enhanced by machine learning algorithms. Industry 4.0 has the potential to be a powerful driver of economic growth, predicted to add between $500 billion- $1.5 trillion in value to the global economy between 2018 and 2022, according to a report by Capgemini.

Read More
SOFTWARE

The Impact of VR and AR on the Automotive Industry

Article | July 13, 2022

Whilst there are many people that associate AI with sci-fi novels and films, its reputation as an antagonist to fictional dystopic worlds is now becoming a thing of the past, as the technology becomes more and more integrated into our everyday lives. AI technologies have become increasingly more present in our daily lives, not just with Alexa’s in the home, but also throughout businesses everywhere, disrupting a variety of different industries with often tremendous results. The technology has helped to streamline even the most mundane of tasks whilst having a breath-taking impact on a company’s efficiency and productivity

Read More
AI TECH

Artificial Intelligence Security: How Human Psychology Impacts AI

Article | July 20, 2022

With the Government investing £250 million into the project, the Lab will consider how to use AI for the benefit of patients – whether this be the deployment of existing AI methods, the development of new technologies or the testing of their safety. Amongst other things, the initiative will aim to deliver earlier diagnoses of cancer. It is estimated that in excess of 50,000 extra patients could see their cancer being detected at an early stage, thus boosting survival rates. More specifically, a study has shown that AI is quicker in identifying brain tumour tissue than a pathologist.This would have a positive knock-on effect in other areas, such as enabling money to be saved (that otherwise would have been spent on further treatment) and reducing the workload of staff (at a time when there is a crisis in NHS workforce numbers).

Read More

Three Keys to Successful AI Adoption

Article | February 10, 2020

Over the past several years, we have begun to see the emergence of artificial intelligence (AI) in businesses. According to a study for the AI Index 2019 Annual Report, more than half of respondents report their companies are using AI in at least one function or business unit. Thirty percent report they have AI embedded across multiple areas of their business. As businesses continue to develop their understanding of what is possible with AI, we can expect to see a continued increase in AI adoption.

Read More
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Spotlight

Melstar Information Technolgies Ltd.

Melstar, a software services company, now part of the Yash Birla Group, is one of the major IT solution providers to the Banking, Insurance, Government and IT sectors. The acquisition, in 2008, was part of the Group's ongoing thrust on growth and exploring new-age sectors like Education, Healthcare and IT.

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AI TECH, GENERAL AI, AI APPLICATIONS

DataRobot Unveils New AI Platform, Ushering in the Era of Value-Driven AI

DataRobot | March 17, 2023

DataRobot today announced the release of DataRobot AI Platform 9.0, along with deeper partner integrations, AI Accelerators, and redesigned service offerings, all centered on helping organizations derive measurable value from their AI investments. “AI has the potential to enhance every aspect of business transactions and human interactions to improve how we live and work,” said Debanjan Saha, CEO of DataRobot. “Since our founding, we have been 100% focused on helping enterprises realize measurable value from AI by offering an AI lifecycle platform designed to solve business problems, and the applied AI expertise to help customers envision what’s possible – and achieve it.” The DataRobot AI Platform allows customers to leverage Value-Driven AI, a unique and collaborative approach that improves how organizations run, grow and optimize their business. With the new and expanded platform capabilities announced today, DataRobot is enhancing the key features and functionalities trusted by global organizations and relied on by nearly half of the Fortune 50. “DataRobot’s rich machine learning blueprints, feature engineering methods and explainability features amongst others make it a cornerstone in BMW Group’s AI Platform to scale AI adoption,” said Marc Neumann, Head of AI Platform BMW Group. “We use DataRobot for rapid exploration and development of AI models while adhering to the code of ethics for safe and trustworthy AI.” The breakthrough innovations inside the DataRobot AI Platform include capabilities that facilitate: Rapid experimentation and value identification using Workbench, DataRobot’s brand new collaborative experimentation experience. Workbench, equipped with integrated managed Notebooks, supports users with both code-first and no-code approaches and the full spectrum of data science capabilities. Reduced enterprise risk and barriers to production through well-architected guard rails — from bias mitigation, centralized model monitoring, to automated model compliance documentation of both DataRobot and non-DataRobot models. Tremendous value, right from the outset with AI Accelerators and new AI services packages that provide customers with years of DataRobot’s AI expertise to jumpstart AI projects and results. “Before DataRobot, our process was very manual – we had success in pockets but our scale was limited,” said Luke Bunge, Data Science Project Manager at Polaris Inc. “Polaris is growing rapidly, and DataRobot is key to allowing us to scale and expand ML across business units, making our existing team much more productive and driving the most possible value with AI. The DataRobot AI Platform significantly accelerates our speed of experimentation and makes it easier for the team to consistently iterate, find insights and share them with business stakeholders, and maintain value while in production.” With the latest release, DataRobot AI Platform Single-Tenant SaaS is now available on AWS, Google Cloud, and Microsoft Azure, ensuring customers with stringent security and compliance requirements get all the benefits of a managed DataRobot service. For on-premises and private cloud customers, DataRobot now supports Red Hat OpenShift for faster installations and deployments that integrate with existing enterprise IT investments. DataRobot also unveiled a newly announced partnership with SAP, designed to help businesses make the most of their existing investments. The SAP partnership will help enterprises to leverage business data from SAP HANA Cloud and other third-party data sources to build custom machine learning models in DataRobot and embed them into SAP application stack. “To succeed with AI, enterprises need a solution that will work within their existing infrastructure and investments,” said Ritu Jyoti, group vice president, Worldwide Artificial Intelligence (AI) and Automation Research at IDC. “With its platform and integration enhancements that make it easy for customers to deploy in their preferred environment, DataRobot has demonstrated leadership within a crowded market. Their compliance and governance is also uniquely positioned to drive value for customers today.” Looking at the next generation of AI technology, DataRobot is innovating with the generative AI technology from the Microsoft Azure OpenAI Service to modernize both the code-first notebook experience for experimentation through assisted code generation, and the collaboration experience between the data scientist and business stakeholder with an automated and interactive insight interpretation. About DataRobot DataRobot is the leader in Value-Driven AI, a unique and collaborative approach to AI that combines an open platform, deep expertise and broad use-case experience to improve how organizations run, grow and optimize their business. The DataRobot AI Platform is the only complete AI lifecycle platform that interoperates with an organization’s existing investments in data, applications and business processes, and can be deployed on any cloud environment. Global organizations, including 40% of the Fortune 50, rely on DataRobot to drive greater impact and value from AI.

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AI TECH,GENERAL AI,AI APPLICATIONS

Dataiku Enhances Its Partner Network to Accelerate Everyday AI

Dataiku | November 15, 2022

Dataiku, the platform for Everyday AI, today announced it has enhanced the Dataiku Partner Network to help partners build joint offerings and go-to-market capabilities for co-sales, service delivery, and resell routes to market to serve companies on their AI journey better. Members of this Partner Network will work with Dataiku to build a world-class partner ecosystem that delivers high-value AI and ML offerings at scale. Today, the Dataiku Partner Network has a global reach across over 50 countries with 3,000 (and growing) Dataiku certifications. The network includes over 325 cloud, ISV, systems integrator, and resell partners, including today's leading AI innovators – AWS, Google Cloud, Microsoft Azure, Snowflake, Deloitte, Capgemini, Slalom, and many others. "Dataiku is committed to helping enterprises derive more value from their data. "We're building a network of market-leading aligned organizations that bring the power of AI and ML to customers and prospects to make a powerful impact on the bottom line. Whether a technology, resell, or services partner, the expanded Dataiku Partner Network is designed to help our partners and their customers achieve the extraordinary." David Tharp, SVP of Ecosystems and Alliances at Dataiku The Dataiku Partner Network was created to build a legion of AI partners of all types, including technology partners who are now able to offer an AI platform that works seamlessly with their own platform; resell partners looking to expand their product portfolio with a leading AI platform that their customers need; and services partners who can support their client's adoption of the Dataiku platform to use their data across a broader set of users than was ever before available. Members of the enhanced Dataiku Partner Network will enjoy benefits such as: New partner tiering model with badges to showcase expertise and achievements Early insights into important Dataiku product and company announcements Exclusive access to Dataiku training, sales enablement, and events Richer onboarding support to accelerate business goals Spur demand generation with marketing assets, programs, and campaigns About Dataiku Dataiku is the platform for Everyday AI that allows companies to leverage one central solution to design, deploy, govern, and manage AI and analytics applications. Since its founding in 2013, the company has been the leader in democratizing data and empowering organization-wide collaboration. Today, more than 500 companies worldwide use Dataiku to integrate and streamline their use of data, analytics, and AI, driving diverse use cases from fraud detection and customer churn prevention, to predictive maintenance and supply chain optimization.

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AI TECH, AI APPLICATIONS

Kyndryl and Teradata Partner to Help Global Customers Use Artificial Intelligence and Data Modernization to Transform Their Businesses

Kyndryl | October 07, 2022

Kyndryl , the world’s largest IT infrastructure services provider, and Teradata , the connected multi-cloud data platform for enterprise analytics company, today announced a strategic global partnership to help customers apply artificial intelligence (AI) and data modernization techniques across their environments to accelerate business outcomes and speed time-to-value. The companies are uniting Kyndryl’s Data and AI services and infrastructure management capabilities with Teradata’s high performance cloud analytics and data platform to help customers modernize and migrate their on-prem data warehouses to the cloud with hyperscaler platforms. Kyndryl and Teradata will also collaborate to help customers use AI to derive better insights and outcomes from their hybrid and multi-cloud data environments by designing, enabling and supporting enterprise data modernization solutions. “Kyndryl, has a long history of supporting large mission-critical environments for our customers. We are thrilled to partner with Teradata who is a trusted and valued technology partner to many customers, providing a best-in-class analytics and data platform for enterprises across the globe. “We look forward to deepening our partnership, so we can deliver greater value and results that help companies transform and compete in their industries and around the world.” Nicolas Sekkaki, Applications, Data & AI global practice leader for Kyndryl The companies expect to create more value for customers with new capabilities that unite Kyndryl’s services and know-how, including advisory, implementation and managed services, to help enable joint customers get the greatest value from the Teradata VantageCloud analytics and data platform. “This partnership brings together Teradata’s unparalleled analytics capabilities and 40-plus years’ experience in data management with Kyndryl’s ability to bring teams of highly qualified individuals for the design, implementation, deployment, and ongoing operations of a modernized IT environment,” said Lisa Stewart, Senior Vice President, Worldwide Partners and Alliances at Teradata. “This joint expertise will enable our customers to drive more actionable insights and higher value from their data through advanced analytics and AI/ML initiatives.” Kyndryl and Teradata will also focus on delivering industry-specific analytics services as they address customer data modernization challenges and needs across key verticals including the manufacturing, communications, financial services, retail & CPG industries. About Kyndryl Kyndryl is the world’s largest IT infrastructure services provider serving thousands of enterprise customers in more than 60 countries. The Company designs, builds, manages and modernizes the complex, mission-critical information systems that the world depends on every day. For more information, visit www.kyndryl.com About Teradata Teradata is the connected multi-cloud data platform for enterprise analytics company. Our enterprise analytics solve business challenges from start to scale. Only Teradata gives you the flexibility to handle the massive and mixed data workloads of the future, today.

Read More

AI TECH, GENERAL AI, AI APPLICATIONS

DataRobot Unveils New AI Platform, Ushering in the Era of Value-Driven AI

DataRobot | March 17, 2023

DataRobot today announced the release of DataRobot AI Platform 9.0, along with deeper partner integrations, AI Accelerators, and redesigned service offerings, all centered on helping organizations derive measurable value from their AI investments. “AI has the potential to enhance every aspect of business transactions and human interactions to improve how we live and work,” said Debanjan Saha, CEO of DataRobot. “Since our founding, we have been 100% focused on helping enterprises realize measurable value from AI by offering an AI lifecycle platform designed to solve business problems, and the applied AI expertise to help customers envision what’s possible – and achieve it.” The DataRobot AI Platform allows customers to leverage Value-Driven AI, a unique and collaborative approach that improves how organizations run, grow and optimize their business. With the new and expanded platform capabilities announced today, DataRobot is enhancing the key features and functionalities trusted by global organizations and relied on by nearly half of the Fortune 50. “DataRobot’s rich machine learning blueprints, feature engineering methods and explainability features amongst others make it a cornerstone in BMW Group’s AI Platform to scale AI adoption,” said Marc Neumann, Head of AI Platform BMW Group. “We use DataRobot for rapid exploration and development of AI models while adhering to the code of ethics for safe and trustworthy AI.” The breakthrough innovations inside the DataRobot AI Platform include capabilities that facilitate: Rapid experimentation and value identification using Workbench, DataRobot’s brand new collaborative experimentation experience. Workbench, equipped with integrated managed Notebooks, supports users with both code-first and no-code approaches and the full spectrum of data science capabilities. Reduced enterprise risk and barriers to production through well-architected guard rails — from bias mitigation, centralized model monitoring, to automated model compliance documentation of both DataRobot and non-DataRobot models. Tremendous value, right from the outset with AI Accelerators and new AI services packages that provide customers with years of DataRobot’s AI expertise to jumpstart AI projects and results. “Before DataRobot, our process was very manual – we had success in pockets but our scale was limited,” said Luke Bunge, Data Science Project Manager at Polaris Inc. “Polaris is growing rapidly, and DataRobot is key to allowing us to scale and expand ML across business units, making our existing team much more productive and driving the most possible value with AI. The DataRobot AI Platform significantly accelerates our speed of experimentation and makes it easier for the team to consistently iterate, find insights and share them with business stakeholders, and maintain value while in production.” With the latest release, DataRobot AI Platform Single-Tenant SaaS is now available on AWS, Google Cloud, and Microsoft Azure, ensuring customers with stringent security and compliance requirements get all the benefits of a managed DataRobot service. For on-premises and private cloud customers, DataRobot now supports Red Hat OpenShift for faster installations and deployments that integrate with existing enterprise IT investments. DataRobot also unveiled a newly announced partnership with SAP, designed to help businesses make the most of their existing investments. The SAP partnership will help enterprises to leverage business data from SAP HANA Cloud and other third-party data sources to build custom machine learning models in DataRobot and embed them into SAP application stack. “To succeed with AI, enterprises need a solution that will work within their existing infrastructure and investments,” said Ritu Jyoti, group vice president, Worldwide Artificial Intelligence (AI) and Automation Research at IDC. “With its platform and integration enhancements that make it easy for customers to deploy in their preferred environment, DataRobot has demonstrated leadership within a crowded market. Their compliance and governance is also uniquely positioned to drive value for customers today.” Looking at the next generation of AI technology, DataRobot is innovating with the generative AI technology from the Microsoft Azure OpenAI Service to modernize both the code-first notebook experience for experimentation through assisted code generation, and the collaboration experience between the data scientist and business stakeholder with an automated and interactive insight interpretation. About DataRobot DataRobot is the leader in Value-Driven AI, a unique and collaborative approach to AI that combines an open platform, deep expertise and broad use-case experience to improve how organizations run, grow and optimize their business. The DataRobot AI Platform is the only complete AI lifecycle platform that interoperates with an organization’s existing investments in data, applications and business processes, and can be deployed on any cloud environment. Global organizations, including 40% of the Fortune 50, rely on DataRobot to drive greater impact and value from AI.

Read More

AI TECH,GENERAL AI,AI APPLICATIONS

Dataiku Enhances Its Partner Network to Accelerate Everyday AI

Dataiku | November 15, 2022

Dataiku, the platform for Everyday AI, today announced it has enhanced the Dataiku Partner Network to help partners build joint offerings and go-to-market capabilities for co-sales, service delivery, and resell routes to market to serve companies on their AI journey better. Members of this Partner Network will work with Dataiku to build a world-class partner ecosystem that delivers high-value AI and ML offerings at scale. Today, the Dataiku Partner Network has a global reach across over 50 countries with 3,000 (and growing) Dataiku certifications. The network includes over 325 cloud, ISV, systems integrator, and resell partners, including today's leading AI innovators – AWS, Google Cloud, Microsoft Azure, Snowflake, Deloitte, Capgemini, Slalom, and many others. "Dataiku is committed to helping enterprises derive more value from their data. "We're building a network of market-leading aligned organizations that bring the power of AI and ML to customers and prospects to make a powerful impact on the bottom line. Whether a technology, resell, or services partner, the expanded Dataiku Partner Network is designed to help our partners and their customers achieve the extraordinary." David Tharp, SVP of Ecosystems and Alliances at Dataiku The Dataiku Partner Network was created to build a legion of AI partners of all types, including technology partners who are now able to offer an AI platform that works seamlessly with their own platform; resell partners looking to expand their product portfolio with a leading AI platform that their customers need; and services partners who can support their client's adoption of the Dataiku platform to use their data across a broader set of users than was ever before available. Members of the enhanced Dataiku Partner Network will enjoy benefits such as: New partner tiering model with badges to showcase expertise and achievements Early insights into important Dataiku product and company announcements Exclusive access to Dataiku training, sales enablement, and events Richer onboarding support to accelerate business goals Spur demand generation with marketing assets, programs, and campaigns About Dataiku Dataiku is the platform for Everyday AI that allows companies to leverage one central solution to design, deploy, govern, and manage AI and analytics applications. Since its founding in 2013, the company has been the leader in democratizing data and empowering organization-wide collaboration. Today, more than 500 companies worldwide use Dataiku to integrate and streamline their use of data, analytics, and AI, driving diverse use cases from fraud detection and customer churn prevention, to predictive maintenance and supply chain optimization.

Read More

AI TECH, AI APPLICATIONS

Kyndryl and Teradata Partner to Help Global Customers Use Artificial Intelligence and Data Modernization to Transform Their Businesses

Kyndryl | October 07, 2022

Kyndryl , the world’s largest IT infrastructure services provider, and Teradata , the connected multi-cloud data platform for enterprise analytics company, today announced a strategic global partnership to help customers apply artificial intelligence (AI) and data modernization techniques across their environments to accelerate business outcomes and speed time-to-value. The companies are uniting Kyndryl’s Data and AI services and infrastructure management capabilities with Teradata’s high performance cloud analytics and data platform to help customers modernize and migrate their on-prem data warehouses to the cloud with hyperscaler platforms. Kyndryl and Teradata will also collaborate to help customers use AI to derive better insights and outcomes from their hybrid and multi-cloud data environments by designing, enabling and supporting enterprise data modernization solutions. “Kyndryl, has a long history of supporting large mission-critical environments for our customers. We are thrilled to partner with Teradata who is a trusted and valued technology partner to many customers, providing a best-in-class analytics and data platform for enterprises across the globe. “We look forward to deepening our partnership, so we can deliver greater value and results that help companies transform and compete in their industries and around the world.” Nicolas Sekkaki, Applications, Data & AI global practice leader for Kyndryl The companies expect to create more value for customers with new capabilities that unite Kyndryl’s services and know-how, including advisory, implementation and managed services, to help enable joint customers get the greatest value from the Teradata VantageCloud analytics and data platform. “This partnership brings together Teradata’s unparalleled analytics capabilities and 40-plus years’ experience in data management with Kyndryl’s ability to bring teams of highly qualified individuals for the design, implementation, deployment, and ongoing operations of a modernized IT environment,” said Lisa Stewart, Senior Vice President, Worldwide Partners and Alliances at Teradata. “This joint expertise will enable our customers to drive more actionable insights and higher value from their data through advanced analytics and AI/ML initiatives.” Kyndryl and Teradata will also focus on delivering industry-specific analytics services as they address customer data modernization challenges and needs across key verticals including the manufacturing, communications, financial services, retail & CPG industries. About Kyndryl Kyndryl is the world’s largest IT infrastructure services provider serving thousands of enterprise customers in more than 60 countries. The Company designs, builds, manages and modernizes the complex, mission-critical information systems that the world depends on every day. For more information, visit www.kyndryl.com About Teradata Teradata is the connected multi-cloud data platform for enterprise analytics company. Our enterprise analytics solve business challenges from start to scale. Only Teradata gives you the flexibility to handle the massive and mixed data workloads of the future, today.

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